Car Sales Research Articles

Analysis of the Development Prospect of China's Used Automobile Market

The development of automobile industry shows that the growth of automobile sales in a country will inevitably lead to the growth of used car market transactions. "With the further development of China's automobile market, the number of new cars is increasing, and consumers' demand for car replacement is increasing significantly. In the future, the gap between used car transaction and new car sales will be further narrowed." Although, since the outbreak of COVID-19 in early 2020, the growth rate of China's domestic automobile consumption market has slowed down, consumer consumption expectations have declined, and the market has cooled significantly. Despite this, China's used car trading has achieved impressive results in the face of the overall car trading market. This article through to the development of China's used-car market present situation, used car trading, such as consumer preference for the data analysis, the rapid development of the used-car market in China in the future. The prospect of making a forecast and judgment, it is concluded that in the future China's used-car market size will continue to expand, huge market potential in the future; The used car trading system will be improved, and the market will become more standardized and transparent. The service quality of used car trading platform will continue to improve.

The Impact of Rising Oil Prices on New Energy Vehicle Sales

Will higher oil prices lead to higher sales of fuel-cleaned cars? To answer this question, this study tries to find out the correlation between oil prices and new energy vehicle sales. In order to gather information on the recent increase in oil prices, the volume of new energy vehicle sales since 2022, people's decrease in the use of gasoline vehicles as a result of the increase in gasoline prices, and local government policies on new energy vehicles, this research applies the method of data gathering and avoidance with new energy vehicles as the object. It is concluded that with the rise of oil prices, new energy car sales are also increasing, which can make new energy vehicle manufacturers better understand the demand for new energy vehicles. It may also reflect the rising trend in new-energy car popularity. In order to guarantee the constant expansion of new energy vehicles, the government must simultaneously develop a number of measures.

The Lithium Problem: An Interview with Thea Riofrancos

After years of outright climate denial and political intransigence, the development of renewable energy is finally underway. When it comes to transportation—the number one source of U.S. carbon emissions—the strategy for decarbonization has focused heavily on replacing gas-powered cars with rechargeable electric vehicles. The Inflation Reduction Act offers billions of dollars of subsidies for both producers and consumers of EVs, including a $7,500 tax credit for buying new EVs made in the United States. The infrastructure bill passed in late 2021 included $5 billion to help states build a network of EV recharging stations. New York and California have announced bans on the sale of vehicles with internal combustion engines beginning in 2035. Half of this year’s Superbowl car ads touted electric vehicles. By 2030, it is estimated that electric vehicles will make up half of U.S. car sales.

PREDICTION OF CAR RESELLING PRICES USING MACHINE LEARNING

It is generally known that, taking wise and challenging decisions is really a crucial task in every business. To propose a novel solution for this challenge, this research work majorly focuses on one of the retail businesses i.e., used car sales business. The proposed research work shows that, the predictive analytical models will be a great add- on to business mainly for assisting the decision making process. The major objective of our paper is to build a prediction model i.e., a fair price mechanism to predict the cars selling price based on their features like the car model, the number of years that a car is old, the type of fuel it uses, the type of seller, the type of transmission and the number of kilometers that the car has driven so far. This paper will help to get an approximation about selling price of a used car based on its features and reduces the seller and consumer risk in business. The proposed model utilizes the machine learning algorithms and regression techniques of statistics like linear, decision tree and random forest regressions to achieve this task. KEYWORDS Used car sales business, decision making process, machine learning algorithms, regression techniques, linear, decision tree and random forest regressions.

Challenges and Countermeasures of the Automobile Marketing Model in the New Media Era

With the continuous development of intelligent technology, the technology of "Internet plus" is also increasingly developed. Therefore, it is necessary to innovate and reform the automobile marketing model in the new era to better adapt to the modern society and thus increase the turnover. The article analyzes the advantages of China's automobile marketing model under the new media environment, analyzes the challenges of the automobile marketing model, and discusses the relevant countermeasures to promote the smooth development of automobile marketing, hoping to make automobile marketing more orderly and create more economic benefits for the development of the automobile industry. Comprehensively analyze the current situation and trend of China's automobile development, reform and innovate China's automobile marketing model, analyze the management, marketing, news communication process and communication phenomenon of automobile sales, and propose countermeasures for automobile marketing under the new media environment, with the purpose of improving the competitiveness of China's automobile sales enterprises.

Falling short in 2030: Simulating battery-electric vehicle adoption behaviour in the Netherlands

The widespread adoption of battery electric vehicles (BEVs) is a crucial element in climate policy for the transport sector. To design effective policies to stimulate the uptake of BEVs, it is essential to understand the barriers and drivers that influence consumers' choices for a BEV. To this aim, we present a computational model named CODEC, a hybrid choice model that estimates the future market share of different vehicle types. The model gives insight into the different effects of technical, financial and other behavioural factors that influence the adoption decision. We included social factors and routine behaviour, which are rarely analysed in other research. We assessed the share in sales of BEVs and gasoline vehicles in the Netherlands between 2020 and 2030 for privately owned new cars. To initialize the model we used data from a survey on the perceptions of prospective car buyers (n = 1522). Our analysis shows that the BEV market share in new car sales will be between 26 and 40 % in 2030, well below the government target of 100 %. The analysis also shows that current barriers for BEV adoption: higher purchase price and lower driving range, will become less important over time. In 2030 routine purchasing behaviour and social factors are the main barriers for widespread BEV adoption. New policy measures are needed to lower these barriers. Factors that affect BEV adoption positively have a relatively small effect, so also measures to reduce the attractiveness of gasoline vehicles should be considered.

Exploring the value of electric vehicles to domestic end-users

Owing to the recent ban on the sales of new petrol and diesel cars in the United Kingdom (UK) by 2030, combined with the UK’s commitment to net-zero emission of greenhouse gases by 2050, a projected increase in the growth rate of electric vehicles (EVs) is inevitable. In recent years, there has been an increase in the adoption of EVs, but not at a rate sufficient to meet net-zero targets. Although benefits do exist for current EV owners, barriers such as the availability of charging infrastructure, total cost of ownership, battery costs, amongst others still present a challenge for the required adoption rate. In this work, we therefore aim to address some of these barriers, specifically the total cost of ownership and battery costs, by exploring the value a range of EVs on the market give to domestic end-users with different usage classes. Using a techno-economic-environmental mixed integer linear optimisation model which considers local energy demands, retail electricity tariffs, local renewable energy generation and battery degradation, potential benefits for EVs adopters are analysed from a cost or Carbon dioxide (CO2) minimisation objective. This model adopted considered a range of vehicle types – EVs and non-EVs – and properties, installed PV sizes, and user travel behaviour classes, and results showed that although EVs have a relatively higher purchase costs, total cost values are comparable, in some cases cheaper, when compared with conventional non-EVs. EV users further gain from environmental benefits through a reduction in the CO2 emitted irrespective of the user’s desired goal. A dominance analysis was also carried out to determine the order of importance of key input variables to the optimisation model in predicting costs and CO2 emission quantities. The results obtained are helpful to end-users in prioritising EV features during purchase based on personal goals of cost or carbon emissions reduction.

Research on the Impact of Financial Subsidies on Sales of China’s New Energy Vehicle Industry and the Optimization of Measures

In the energy crisis, the development of new energy enterprises is particularly noticeable, and the subsidy policies for related enterprises are constantly being adjusted. The research topic of this paper is: to investigate the impact of financial subsidies from 2017-2019 on sales of China’s new energy vehicle industry and the optimization of measures. Relevant conclusions are drawn by studying the relationship between the changes in the car sales of BYD, BAIC, and ROEWE enterprises and the changes in the relevant subsidy policies within the specified period. Second, use the qualitative study to conduct mathematical analysis on the annual sales reports of the three enterprises, and observe the impact of subsidy policies on them through data trends and changes. The results derived from the research are the reduction in subsidy did have a relatively large impact on sales, but the overall sales managed to hold firm due to the increase in the variety of models. The research also found that new energy vehicles are more accepted and sold in economically developed regions, especially in cities with limited licenses, such as Shanghai. Climate conditions were also a factor: the overall sales for Guangdong Province outnumbered Liaoning Province, which has a higher latitude. The fluctuation in sales trends in all cities is similar. The research suggested domestic NEV companies should continue to improve the technologies of motors, electronic control systems, and batteries to maximize the endurance mileage in dealing with the fiercer competition in the NEV market.

Decision Support System for The Selection of Digital Advertising Provider for Car Sales Using Weight Product Method (case Study : Pt. Media Tech Indonesia)

This research is motivated by the internet which is starting to be seen as a potential media to be used as a means ofadvertising. Compared to other media such as television, the internet offers relatively lower rates for a longerinstallation period. If it costs 20 million rupiah, an advertiser can only display one ad for one slot for two times.Conversely, for the same fee, advertisers can place weeks of advertisements on the internet. Since online advertisinghas emerged, many digital ad providers have been able to advertise a product. When individuals or their companies(customers) want to advertise products, many of them still don't understand how to use digital advertising providers.The purpose of this study is to provide an information or description in the decision to choose a digital advertisingprovider for car sellers according to customer desires.In this research, a system implemented using the Weight Product (WP) method has a vector V value that is differentfor each customer. The results of this study conducted by 20 individual customer types chose digital advertisingproviders Google Ads 30%, Facebook 55%, Instagram 10%, Youtube 5% and 20 corporate type customers chose thedigital advertising provider Google Ads 15%, Facebook 45%, Instagram. 35%, Youtube 5%. It can be concluded thatthe test results show that individual customer types tend to choose the Facebook digital advertising provider (55%),while the corporate type customers tend to choose the Facebook digital ad provider (45%).

Paying Twice for Aesthetic Customization? The Negative Effect of Uniqueness on a Product's Resale Value

Customers frequently gravitate toward unique products, and firms increasingly utilize mass customization strategies allowing customers to self-customize products according to their unique preferences. While existing research shows that customers are willing to pay extra for this uniqueness, the present investigation points to a potential cost of self-customization that has been largely overlooked thus far. Specifically, the authors argue that what creates value for the individual consumer-designer (i.e., the original customer of the self-customized product) might conversely be detrimental to potential customers on the secondhand market, particularly in the context of aesthetic (vs. functional) customization. Results of three distinct data sets (including an analysis of more than 500,000 preowned car sales listings) support this uniqueness-hurts-resale hypothesis and provide a series of more nuanced findings. Consistent with the theorizing and empirical studies, three follow-up experiments show that although consumer-designers’ valuations are positively affected by uniqueness, uniqueness indeed negatively affects secondhand-market customers’ willingness to pay. This is because the more unique a given configuration is to a given consumer-designer, the lower the likelihood that said design will meet secondhand-market customers’ taste preferences. The findings point to a tension between maximizing utility at first purchase and minimizing the related cost of aesthetic customization at resale.

Pengaruh Harga, Kualitas Produk, Citra Merek Dan Kualitas Pelayanan Terhadap Keputusan Pembelian Mobil Suzuki Ertiga Di Deller Suzuki Jember

Business competition in the automotive world is getting tougher, especially in the competition for car production. The fact that car sales continue to increase. This condition makes the company increasingly increase innovation by launching new products to increase market share. The purpose of this study was to determine (1) the effect of price on purchasing decisions for the Suzuki Ertiga at Deller Suzuki Jember, (2) the effect of product quality on purchasing decisions for the Suzuki Ertiga at Deller Suzuki Jember, (3) the effect of brand image on purchasing decisions for the Suzuki Ertiga. at Deller Suzuki Jember, (4) Quality of service on purchasing decisions for the Suzuki Ertiga at Deller Suzuki Jember. The sample in this study was 165 respondents. The sampling technique used non-probability sampling using purposive sampling. From the results of this study it is stated that the price has a positive and significant influence on the purchasing decision of the Suzuki Ertiga Car at Deller Suzuki Jember, Product quality has a positive and significant influence on the purchasing decision of the Suzuki Ertiga Car at Deller Suzuki Jember, Brand image has a positive and significant influence on the decision. the purchase of a Suzuki Ertiga Car at the Deller Suzuki Jember, the quality of service has a positive and significant influence on the decision to purchase a Suzuki Ertiga at the Deller Suzuki Jember.

Аналіз особливостей діяльності регулюючих органів ринку продажу легкових автомобілів в Україні та світі

The article analyzes the regulatory bodies of the market for sales of passenger cars in Ukraine and some countries of the world. The role and functions of the authorities regulating the market for sales of passenger cars in different countries are examined. The article contains a list of bodies of the State regulation of the the market for sales of passenger cars in Ukraine and some other countries, such as Germany, France, Slovakia, Poland, Great Britain, the Netherlands, Austria, Spain, Estonia, China, Japan, India, the USA, Canada, and others. This article examines examples of countries where regulatory bodies play an important role in ensuring road safety and consumer protection, as well as countries where such authorities play a less significant role. The main tasks of the regulatory authorities of Ukraine and some other countries responsible for ensuring free and competitive trade in cars are determined. The importance of regulatory authorities in ensuring the safety and quality of cars, as well as consumer protection, is outlined. It is determined that the main reasons for the State intervention in the market for sales of passenger cars are price regulation, quality control, support for domestic producers, reduction of environmental impact, and consumer protection. The problems and shortcomings of the activities of regulatory bodies are highlighted and recommendations for improving their work are provided. Problems in regulating the market for sales of passenger cars in Ukraine are presented. In particular, this concerns insufficient effectiveness of control, corruption issues, insufficient qualifications of employees, etc. An idea of how different countries regulate the market for sales of passenger cars is provided, which helps to understand what measures can be useful for improving the regulation of this market in Ukraine.

High-end Street Vendor Economy—the Status Quo, Challenges and Policy Responses of Car Boot Sales

Under the fully open post-epidemic period, the national demand for stable employment and people's livelihood has set off a wave of "street vendor heat", the situation of street vendor economy has changed, and the car boot sales quietly rises with the deep combination of car boot sales culture and consumption. Based on the study and analysis of the status quo of the car boot sales, this paper lists the new challenges facing the development and management of the car boot sales from the perspective of urban governance and puts forward the policy countermeasures to solve the pain spots of car boot sales.

OPTIMALISASI BAURAN PEMASARAN DALAM MENINGKATKAN PENJUALAN PADA KENDARAAN RODA EMPAT DI KOTA URBAN

During the last ten years, there has been an increase in the use of four-wheeled vehicles, especially in urban cities. It is not surprising that there are many vehicle showrooms everywhere, bidding on car sales, both new and used. This condition has increased the intensity of competition among four-wheeled business actors, thus demanding more effort in winning business competition. Based on this phenomenon, in fact this research was conducted, to see and analyze the effectiveness of the marketing mix in increasing used car sales in urban/Tangerang cities. The method used to express these problems is quantitative. That is, the research was carried out statistically, by disclosing field data in an informative and relevant manner, thereby obtaining a statement showing the level of effectiveness of a marketing mix used. To obtain research data, questionnaires were distributed to 100 respondents. This research was conducted in one of the car showrooms, namely Dwi Perkasa Mobiltama, South Tangerang. In translating the research data, a statistical analysis based on estimation/regression was used, in order to obtain the required information. In the analysis stage, measurable efforts are carried out in the form of testing the truth and reliability of the data, testing the prerequisites for regression, and testing the hypothesis. The research results obtained information, that the most effective marketing mix in increasing sales is the product/car quality aspect. This confirms, in the four-wheeled automotive industry, product quality is the main assessment for consumers in purchasing. They will only buy cars that are really good to drive, comfortable, and provide adequate safety.

Позиціонування автомобільних брендів на авторинку України в очікуванні його післявоєнного відновлення

Despite the fact that Russia's war against Ukraine, which led to a significant destruction of the Ukrainian car market, is still ongoing, there are urgent tasks to study the ways of post-war recovery of Ukraine, in particular, its car market. Against the background of a fall in the gross domestic product (GDP) of Ukraine for 2022 by no less than 40%, the car market of Ukraine decreased by the number of car sales even more, by 61.3%. In anticipation of the beginning of the post-war recovery of Ukraine, the question arises as to how the recovery of the Ukrainian car market will proceed – by simply reproducing previously achieved sales volumes, or by reforming the structure of the car market by individual car brands, countries of production, supply, etc. Expected data on the structure and volume of sales of cars by well-known car brands are of such great importance that they must be taken into account when creating the necessary conditions for the effective activity of people in the process of post-war recovery of Ukraine, which puts forward as an urgent task the monitoring of the state of positioning of car brands on the car market of Ukraine. It is shown that the line of automobile brands that developed in the pre-war years as a result of the interaction of factors of consumer preferences of Ukrainian car buyers can become a decisive factor in the structure of the car market in the process of its revival. According to the results of the conducted research, it is obvious that it is necessary to expect vehicles of the Toyota, Renault, Kia, ?koda, Hyundai and Volkswagen brands to be the leaders of the reviving car market, which in all cases will occupy the first places in terms of new car sales, including Volkswagen, Renault and ?koda remain leaders also in the market of secondary sales.

TRANSFORMATION OF THE AUTOMOBILE SECTOR COMPANIES` INTERNATIONAL MARKETING STRATEGY TAKING INTO ACCOUNT FACTORS OF SUSTAINABLE DEVELOPMENT

The paper examines the theoretical and practical foundations of the transformation of the company`s international marketing strategy in the automotive sector, taking into account the factors of sustainable development. The importance of taking into account the factors of sustainable development when developing strategies and business models of companies in order to maintain their competitiveness in changing and developing markets is emphasized. It has been established that the automobile market plays a significant role in the world economy and significantly affects its development. The production and sale of passenger cars and light commercial vehicles contribute to the overall economic output of many countries and have a ripple effect on related industries such as manufacturing, technology, and transportation. Fluctuations in the volume of car sales on the global market were analyzed and the key factors that influenced their decline were determined. The global automotive industry has been severely affected by the COVID-19 pandemic, disrupting global supply chains and causing temporary factory shutdowns. Worldwide car sales experienced a modest growth from around 66.7 million units in 2021 to approximately 67.2 million automobiles in 2022. This growth suggests a potential recovery from the downward trend witnessed in the previous years. It is emphasized that the management of automotive enterprises should anticipate the changing dynamics of the market and invest in innovation in order to remain a competitive business. Automotive companies that have set themselves the goal of using sustainability as one of the vectors of their international marketing strategy should actively communicate their sustainable initiatives and achievements in order to attract the attention of consumers and create an image of a responsible and socially oriented company. A model of the transformation of a company`s international marketing strategy in the automotive sector, taking into account the factors of sustainable development is proposed.

Machine Learning Fusion and Data Analytics Models for Demand Forecasting in the Automotive Industry: A Comparative Study

Demand forecasting is a crucial aspect of managing the supply chain, as it helps companies optimize inventory levels and minimize expenses related to inventory shortages. In recent years, machine learning (ML) algorithms have gained popularity for demand forecasting, as they can handle large and complex datasets and provide accurate predictions. Precise demand prediction for car brands is vital for companies to minimize costs and prevent inventory shortages. The demand for distributing cars is a critical component of inventory management. However, estimating demand for new car sales is difficult due to its continuous nature. To address this challenge, a study was conducted to train, test, and compare the performance of five machine learning algorithms (Random Forest, Multiple Linear Regression, k-Nearest Neighbors, Extreme Gradient Boosting, and Support Vector Machine) using a benchmark dataset. Among all the experiments, the Support Vector Machine algorithm achieved the highest accuracy score of 71.42%. Moreover, Multiple Linear Regression performed well, with an accuracy score of 66.66%. On the other hand, the Extreme Gradient Boosting algorithm had the lowest accuracy score of 42.85%. All experiments used a train-test split of 7525.

Сприяння впровадженню електромобілів як науково-технічна інновація в галузі автомобільного транспорту

The purpose of this study is to analyze the consequences of the implementation of the concept of market orientation on the Ukrainian market of passenger electric cars and to determine the impact of innovations on its development. It is also necessary to analyze the application of new constructive solutions in the field of road transport, which contribute to the wider introduction of electric vehicles. As of January 1, 2023, the total number of passenger electric cars registered in Ukraine is 46,830 cars. Thus, the share of electric vehicles in the total mass of vehicles in our country is about 0.5%. The main driver of the increase in the number of electric cars was economy and a higher level of environmental safety compared to diesel and gasoline cars. Ukraine prioritizes the transition to electric road transport by January 1, 2030. In 2017, the Ministry of Infrastructure of Ukraine developed a 15-year strategy for the development of electric transport in Ukraine. According to the Ministry of Infrastructure of Ukraine, as of November 1, 2021, the Ukrainian charging network for electric vehicles included 3,244 stations with 7,661 terminals. Of them, high-speed (power over 22 kW) – 1,835 units, i.e. 24%. Other 5826 units. (76%) – ordinary terminals with a capacity of up to 22 kW. The main obstacles to the wider introduction of electric vehicles are their cost, underdeveloped recharging, service and repair infrastructure, as well as an insufficient number of maintenance and repair specialists. According to analytical data, the world electric car market is facing a serious transformation. Due to a number of factors such as a jump in electricity prices in Europe, the introduction of electric car taxation, the end of subsidies, problems with the development of global charging infrastructure, a sharp increase in the prices of raw materials, in particular, lithium and nickel. As a result, as noted, the rate of growth of sales of electric cars may slow down, and in some regions may even come to nothing. Electric cars give owners the opportunity to completely abandon traditional types of fuel and save their own money, and the state to localize the sphere of regulation of the level of environmental and man-made safety in the locations of power plants.

Establishment of the National Centre for E-Vehicle and Sustainable Technology (EVST)

The UK government has set ambitious targets to reduce carbon emissions and combat climate change, with a focus on the widespread adoption of electric vehicles (EVs). Alongside, the government has announced plans to phase out the sale of new petrol and diesel cars by 2030, and to invest in infrastructure such as EV charging stations to support this transition. Additionally, financial incentives, such as grants and tax breaks, are being offered to encourage individuals and businesses to switch to EVs. The adoption of EVs is seen as a key step in achieving the UK's goal of becoming a net-zero carbon economy by 2050. A recent major initiative of the University of Bolton is the establishment of the National Centre for e-Vehicle and Sustainable Technology (EVST). This Centre – established in 2022 – is a collaborative venture between the university group and key partners from industry. Its principal purpose is to provide education and training at a range of levels to support the electric, hybrid and hydrogen cell powered vehicles (both lightweight and heavy) maintenance sector. Whilst all vehicle manufacturers have developed and launched various electric and sustainable models to market, there is a well-recognised skills shortage in the maintenance of these vehicles. A market research exercise was carried out to establish the existing provision of education and training in the UK higher and further education sectors to inform the work in developing the Centre. This exercise provided valuable insight into where the opportunities and gaps existed in this important aspect of enabling widespread adoption of electric and sustainable vehicles to happen in the UK. This paper sets out how EVST will provide the educational base and industry-focussed training for a range of technician and engineer roles to address this skills shortage, initially in the North-West of England and growing to cover the rest of Great Britain.

Urban emissions cut: Russian and Chinese experience

This study is aimed at analyzing the opinions and proposals of scientists from Russia and China on reducing harmful emissions into the atmosphere produced by urban transport. Many factors of air pollution are similar in the cities of these countries. Therefore, Chinese and Russian researcher’ proposals could be mutually useful for solving issues of improving air quality and reducing emissions. The study is based on a comprehensive data analysis. First of all, the Air Quality Index in the cities of China and Russia was analyzed using the World's Air Pollution resource. Statistical data and the results of a survey of the population on the causes of air pollution in the cities of their residence and measures to improve it were used; the publications of Russian and Chinese authors. As a general approach to address this issue, it is proposed to switch to electric public transport, including electric buses; restriction on trips by private vehicles to certain areas of cities; restriction on the entry of commercial vehicles during the hours of the greatest traffic. The Chinese authors propose a ban the sale of cars. Russian scientists have substantiated the idea of the influence of building density on the dispersion of polluted air.